Job Title: Senior AI Engineer Agentic Systems

Location: Bengaluru, Karnataka

Experience: 610 Years

Employment Type: Contract through March 2027, extendable

About the Organization

A4I Lab (AI Innovation and Inclusion Initiative) is a partnership between IIIT Bangalore and Microsoft. The initiative collaborates with non-profit partners to apply AI to real-world challenges in education, healthcare, accessibility and agriculture.

The initiative focuses on developing open-source Digital Public Goods (DPGs) that can be deployed at scale for meaningful social impact.

Role Overview

We are looking for a Senior AI Engineer with strong hands-on experience designing and deploying production-grade agentic AI systems. The ideal candidate will architect multi-agent workflows, build scalable RAG pipelines, integrate multimodal AI capabilities and drive AI platform engineering.

This is a hands-on technical leadership role focused on building reliable AI systems for real-world users and resource-constrained environments.

Key Responsibilities

Agentic AI Systems

- Design and build multi-agent orchestration pipelines for production environments.
- Translate complex, multi-stakeholder use cases into resilient, auditable and deployable agentic workflows.
- Own AI system components from research prototypes through production deployment.
- Collaborate with researchers, domain partners and end users.

LLM, RAG and Multimodal AI

- Build and maintain RAG pipelines, vector stores, MCP tools and graph databases.
- Develop dynamic, multilingual knowledge retrieval systems.
- Integrate speech, vision and document inputs into unified agent workflows.
- Fine-tune and evaluate LLMs for domain-specific applications.
- Develop evaluation frameworks to measure production performance and quality.

AI Platform Engineering and MLOps

- Architect scalable cloud-based AI platforms.
- Build reproducible ML pipelines using Docker, Kubernetes,



CI/CD and model versioning.
- Establish AI-Ops practices for faster model deployment and safe, monitored rollouts.
- Define architectural standards across engineering, data science and research teams.

Technical Leadership

- Mentor engineers and researchers across partner organizations.
- Communicate architectural trade-offs to technical and non-technical stakeholders.
- Contribute to open-source projects and documentation for reusable Digital Public Goods.

Mandatory Skills and Qualifications
- 610 years of experience designing and building software systems.
- At least 2 years of hands-on experience developing AI/ML applications in production.
- At least one end-to-end agentic AI workload deployed in production with real users.
- Hands-on experience with LangGraph, LlamaIndex, n8n, Potpie or comparable agent frameworks.
- Solid understanding of multi-agent architecture, RAG, vector retrieval, caching, embeddings and context-window management.
- Experience with at least two cloud platforms among AWS, GCP and Azure.
- Experience with Docker, application lifecycle tooling and production deployments.
- Ability to design systems supporting 10,000+ concurrent users with acceptable latency and cost.
- Experience driving technical architecture and mentoring engineers.
- Verifiable experience building and deploying large-scale AI platforms
- .

Education Bachelor's or Master's degree in Computer Science, Electrical Engineering or equivalent demonstrated expertise.

Preferred Qualifications

- Experience with vision-language models (VLMs), speech models and multilingual or Indic-language AI pipelines.
- Knowledge of AI services and open-source alternatives.
- Experience delivering technology in social impact, public-sector or resource-constrained environments.
- Familiarity with AI evaluation frameworks and production measurement.
- Open-source AI contributions or publications in agent systems and applied AI.

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